Our first model Mac-1 6.6B beating 3 giant models.
- Haiku 4.5
- GPT 5.4 mini
- Gemini 3 flash
Running this model on my Macbook M3 24GB. (model takes only 7GB RAM)
It searches web, call tools, ask follow-ups, tell jokes, find contacts, search files, write emails, book events, write notes, set reminders and so much Siri can't do.
Read again, a 6.6B model.
Will share full 2000+ scenario test results & benchmark scores in 2 days.
Indique alguém para o OpenCode Go e você ganha $5. Seu amigo também ganha $5 pra usar nos seus limites de uso.
É de graça e todo mundo sai lucrando! 👇
🔗 https://t.co/2jUBt4QJBX
#bolhadev#soudev
Just shipped of opencode-context-plugin 🚀
Context & session memory for OpenCode AI, tracks your coding sessions, builds weekly/monthly summaries, and keeps your AI assistant actually remembering your projects.
https://t.co/VTcwrfmIxB
@opencode@thdxr#opencode#ai#devlife
we're making OpenCode more embeddable in 2.0
you can even use the workspaces feature to run distributed sessions
data replication is handled for you so you don't have to think about the fact that it's running remotely
your server can even go down and it'll resync when it's up
@plainionist Learn the basics. Just as before. Learn them very well. Write assembler, C, Java, Ruby. Learn algorithms and data structures. Read the old classics.
And then start using agents.
Novices with power tools tend to lose fingers.
I don’t review code written by agents. I measure things like test coverage, dependency structure, cyclomatic complexity, module sizes, mutation testing, etc.
Much can be inferred about the quality of the code from those metrics. The code itself I leave to the AI.
Humans are slow at code. To get productivity we humans need to disengage from code and manage from a higher level.